Connectionists: Extended Deadline (Sept. 29): DATA STREAMS TRACK - ACM SAC 2017

[Carlos Ferreira]

ACM Symposium on Applied Computing

The 31th Annual ACM Symposium on Applied Computing in Marrakech, Morocco,

April 3 – 7, 2017.

http://www.acm.org/conferences/sac/sac2017/

Data Streams Track

http://www.cs.waikato.ac.nz/~abifet/SAC2017/



Call for Papers

The rapid development in Big Data information science and technology in general and in growth complexity and volume of data in particular has introduced new challenges for the research community. Many sources produce data continuously. Examples include the Internet of Things (IoT), Smart Cities, Urban Computing, sensor networks, wireless networks, radio frequency identification, health-care devices and information systems, customer click streams, telephone records, multimedia data, scientific data, sets of retail chain transactions, etc. These sources are called data streams. A data stream is an ordered sequence of instances that can be read only once or a small number of times using limited computing and storage capabilities. These sources of data are characterized by being open-ended, flowing at high-speed, and generated by non stationary distributions.


TOPICS OF INTEREST

We are looking for original, unpublished work related to algorithms, methods and applications on big data streams and large scale machine learning. Topics include (but are not restricted) to:


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    Real-Time Analytics

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    Big Data Mining

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    Data Stream Models

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    Large Scale Machine Learning

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    Languages for Stream Query

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    Continuous Queries

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    Clustering from Data Streams

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    Decision Trees from Data Streams

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    Association Rules from Data Streams

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    Decision Rules from Data Streams

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    Bayesian networks from Data Streams

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    Feature Selection from Data Streams

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    Visualization Techniques for Data Streams

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    Incremental on-line Learning Algorithms

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    Single-Pass Algorithms

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    Temporal, spatial, and spatio-temporal data mining

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    Scalable Algorithms

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    Real-Time and Real-World Applications using Stream data

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    Distributed and Social Stream Mining

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    Urban Computing, Smart Cities

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    Internet of Things (IoT)


IMPORTANT DATES (strict)

1. Paper Submission: September 29, 2016

2. Author Notification: November 10, 2016

3. Camera‐ready copies: November 25, 2016



PAPER SUBMISSION GUIDELINES


Papers should be submitted in PDF. Authors are invited to submit original papers in all topics related to data streams. All papers should be submitted in ACM 2-

column camera ready format for publication in the symposium proceedings. ACM

SAC follows a double blind review process. Consequently, the author(s) name(s) and

address(s) must NOT appear in the body of the submitted paper, and self-references

should be in the third person. This is to facilitate double blind review required by

ACM. All submitted papers must include the paper identification number provided by

the eCMS system when the paper is first registered. The number must appear on the

front page, above the title of the paper. Each submitted paper will be fully refereed

and undergo a blind review process by at least three referees. The conference

proceedings will be published by ACM. The maximum number of pages allowed for

the final papers is 6 pages. There is a set of templates to support the required paper

format for a number of document preparation systems at:

http://www.acm.org/sigs/pubs/proceed/template.html


Important notice:

1. Please submit your contribution via SAC 2017 Webpage.
2. Paper registration is required, allowing the inclusion of the paper, poster, or SRC abstract in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for including the work in the ACM/IEEE digital library. No-show of registered papers, posters, and SRC abstracts will result in excluding them from the ACM/IEEE digital library.


Student Research Competition

Graduate students seeking feedback from the scientific community on their research

ideas are invited to submit original abstracts of their research work in areas of

experimental computing and application development related to SAC 2017 Tracks.

The SRC program is designed to provide graduate students the opportunity to meet

and exchange ideas with researcher and practitioners in their areas of interest. All

research abstract submissions will be reviewed by researchers and practitioners with

expertise in the track focus area to which they are submitted. Authors of selected

abstracts will have the opportunity to give poster and oral presentations of their

work and compete for three top wining places. The SRC committee will evaluate and

select First, Second, and Third place winners. The winners will receive cash awards

and SIGAPP recognition certificates during the conference banquet dinner. Authors of

selected abstracts are eligible to apply to the SIGAPP Student Travel Award program

for support.


Graduate students are invited to submit research abstracts (minimum of two pages;

maximum of four pages) following the instructions published at SAC 2017 website.

Submission of the same abstract to multiple tracks is not allowed. Submissions must

address original and unpublished research work related to a SAC track, with

emphasis on the innovation behind the research idea. The submission should address

the research problem being investigated, the proposed approach and research

methodology, and sample preliminary results of the work. In addition, the abstract

should reflect on the originality of the work, innovation of the approach, and

applicability of the results to real-world problems. All abstracts must be submitted

thought the START Submission system.

If you encounter any problems with your submission, please contact the Program Coordinator.


Carlos Ferreira

ISEP | Instituto Superior de Engenharia do Porto
Rua Dr. António Bernardino de Almeida, 431
4249-015 Porto - PORTUGAL
tel. +351 228 340 500 | fax +351 228 321 159
mail at isep.ipp.pt | www.isep.ipp.pt